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alphabetize registries

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svlandeg 2020-08-21 18:10:31 +02:00
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website/docs/usage/training.md
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@ -222,21 +222,21 @@ passed to the component factory as arguments. This lets you configure the model
settings and hyperparameters. If a component block defines a `source`, the
component will be copied over from an existing pretrained model, with its
existing weights. This lets you include an already trained component in your
model pipeline, or update a pretrained components with more data specific to
model pipeline, or update a pretrained component with more data specific to
your use case.
```ini
### config.cfg (excerpt)
[components]
# "parser" and "ner" are sourced from pretrained model
# "parser" and "ner" are sourced from a pretrained model
[components.parser]
source = "en_core_web_sm"
[components.ner]
source = "en_core_web_sm"
# "textcat" and "custom" are created blank from built-in / custom factory
# "textcat" and "custom" are created blank from a built-in / custom factory
[components.textcat]
factory = "textcat"
@ -290,7 +290,7 @@ batch_size = 128
```
To refer to a function instead, you can make `[training.batch_size]` its own
section and use the `@` syntax specify the function and its arguments – in this
section and use the `@` syntax to specify the function and its arguments – in this
case [`compounding.v1`](https://thinc.ai/docs/api-schedules#compounding) defined
in the [function registry](/api/top-level#registry). All other values defined in
the block are passed to the function as keyword arguments when it's initialized.